1 Graphics

One of the main reasons data analysts turn to R is for its strong graphic capabilities.

2 Aim

Learning how to graph/plot in R and basic customizations.

3 Creating a Graph

attach(mtcars)
plot(wt, mpg)
abline(lm(mpg~wt))
title("Regression of MPG on Weight")

The plot( ) function opens a graph window and plots weight vs. miles per gallon. The next line of code adds a regression line to this graph. The final line adds a title.

4 Saving Graphs

You can save the graph in a variety of formats from the menu File -> Save As.

You can also save the graph via code using one of the following functions.

Function	Output to
pdf(“mygraph.pdf”)	pdf file
win.metafile(“mygraph.wmf”)	windows metafile
png(“mygraph.png”)	png file
jpeg(“mygraph.jpg”)	jpeg file
bmp(“mygraph.bmp”)	bmp file
postscript(“mygraph.ps”)	postscript file

5 Built-in plots functions

Few ploting functions comes built-in when R installed. These can help do diffrent type of plots. Such as * Scater Plots * Dot Plots * Bar Plots * Pie Charts * Box Plots

5.1 Scatter Plots

plot(wt, mpg, main="Scatterplot Example",
   xlab="Car Weight ", ylab="Miles Per Gallon ", pch=19)

5.2 Dot Plots

dotchart(mtcars$mpg,labels=row.names(mtcars),cex=.7,
   main="Gas Milage for Car Models",
   xlab="Miles Per Gallon")

5.3 Bar Plots

5.3.1 Simple Bar Plot

counts <- table(mtcars$gear)
barplot(counts, main="Car Distribution",
   xlab="Number of Gears")

5.3.2 Stacked Bar Plot

counts <- table(mtcars$vs, mtcars$gear)
barplot(counts, main="Car Distribution by Gears and VS",
  xlab="Number of Gears", col=c("darkblue","red"),
  legend = rownames(counts))

5.3.3 Grouped Bar Plot

counts <- table(mtcars$vs, mtcars$gear)
barplot(counts, main="Car Distribution by Gears and VS",
  xlab="Number of Gears", col=c("darkblue","red"),
  legend = rownames(counts), beside=TRUE)

5.4 Pie Charts

slices <- c(10, 12,4, 16, 8)
lbls <- c("US", "UK", "Australia", "Germany", "France")
pie(slices, labels = lbls, main="Pie Chart of Countries")

5.5 Box Plots

5.5.1 Simple Boxplot

boxplot(mpg~cyl,data=mtcars, main="Car Milage Data",
   xlab="Number of Cylinders", ylab="Miles Per Gallon")

5.5.2 Notched Boxplot

boxplot(len~supp*dose, data=ToothGrowth, notch=TRUE,
  col=(c("gold","darkgreen")),
  main="Tooth Growth", xlab="Suppliment and Dose")

## Warning in bxp(list(stats = structure(c(8.2, 9.7, 12.25, 16.5, 21.5, 4.2, :
## some notches went outside hinges ('box'): maybe set notch=FALSE

6 Customization

Graphical parameters describes how to change a graph’s symbols, fonts, colors, and lines. Axes and text describe how to customize a graph’s axes, add reference lines, text annotations and a legend. Combining plots describes how to organize multiple plots into a single graph.

# Legend Example
attach(mtcars)

## The following objects are masked from mtcars (pos = 3):
## 
##     am, carb, cyl, disp, drat, gear, hp, mpg, qsec, vs, wt

boxplot(mpg~cyl, main="Milage by Car Weight",
   yaxt="n", xlab="Milage", horizontal=TRUE,
   col=terrain.colors(3))
legend("topright", inset=.05, title="Number of Cylinders",
   c("4","6","8"), fill=terrain.colors(3), horiz=TRUE)

7 Advance Ploting

Refer the follwing link - https://www.statmethods.net/advgraphs/index.html

Created and Maintained by Sangram Keshari Sahu
Licensed under CC-BY 4.0
Source Code At GitHub
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